Senior Data Engineer

November 14

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Counsel Health

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Expert medical advice from real doctors.

2 - 10 employees

📋 Description

• You will own and architect the data infrastructure powering our Clinical, AI, Product, and Financial Operations. • This role is central to ensuring our platform can scale seamlessly—meeting the demands of large healthcare clients while reliably serving hundreds of thousands of patients. • Primarily focus on architecting our data infrastructure layer that drives our financial, clinical, and AI applications • Build robust batch and streaming ingestion pipelines that unify data from diverse internal and external systems into a consistent, ontology-driven data model • Maintain dbt-driven SQL models that unify datasets from our product, integrations, financial operations and clinical data, leveraging ontologies (e.g. SNOMED CT, ICD, HL7 FHIR) • Design data pipelines that handle diverse sets of structured (e.g. SQL, APIs) and unstructured (e.g., documents, notes, embeddings) datasets • Future-proof the data platform to anticipate and support evolving needs

🎯 Requirements

• 5+ years of experience in data engineering building high-performance data pipelines: • Previously pioneered self-service analytics & business intelligence tooling (e.g. Hex, Sigma, Looker) for a diverse set of stakeholders • Operational experience with data storage platforms (e.g. Databricks, Iceberg, or Snowflake) and analytical query engines (e.g. Athena or Presto) • Managed job orchestration (e.g. Dagster, Airflow) and semantic data modeling (dbt, SQL) • 2+ years working in highly regulated industries such as healthcare or financial services: • Implemented row-level security and data masking for PHI/PII use cases • Deep familiarity with row and columnar data warehouses (e.g. PostgreSQL, BigQuery, Snowflake) • Opinionated about data architecture, data modeling, and analytics in a fast-growing environment • You are a great fit if: • You have hands-on experience architecting data platforms from day 0 in a fast-paced, high-growth environment • You’ve extensively worked with healthcare data and standards (e.g. HL7 FHIR, CDS, ICD-10) • You have experience with our tech stack: AWS, Google Cloud, PostgreSQL, FHIR servers • You consider yourself a Swiss-army knife data engineer who can flex into both data infrastructure, semantic modeling, and operational analytics • You have knowledge of medical statistics and are keen to learn more • You’re comfortable working across teams on multi-stakeholder projects • You thrive on working alongside exceptional teammates and derive energy from collaborative environments

🏖️ Benefits

• Health insurance • Flexible working hours • Professional development